Abstract
We study the effect of noise on a nonlinear neurodynamical model for disease states of recurrent affective disorders. Specifically, we consider how noise affects a model state with periodic event generation close to period-doubling bifurcations. Our simulations demonstrate noisy precursors of the bifurcations. The precursors can be seen in the return maps of the time series and can be quantified with a recently developed algorithm for the detection of unstable periodic orbits. Implications for the neurobiology and course of mood disorders are discussed.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
